The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications

Abstract. Extremely severe and persistent haze occurred in January 2013 over eastern and northern China. The record-breaking high concentrations of fine particulate matter (PM2.5) of more than 700 μg m−3 on hourly average and the persistence of the episodes have raised widespread, considerable public concerns. During that period, 7 of the top 10 polluted cities in China were within the Hebei Province. The three cities in southern Hebei (Shijiazhuang, Xingtai, and Handan) have been listed as the top three polluted cities according to the statistics for the first half of the year 2013. In this study, the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality (CMAQ) modeling system are applied to simulate the 2013 severe winter regional hazes in East Asia and northern China at horizontal grid resolutions of 36 and 12 km, respectively, using the Multi-resolution Emission Inventory for China (MEIC). The source contributions of major source regions and sectors to PM2.5 concentrations in the three most polluted cities in southern Hebei are quantified by aiming at the understanding of the sources of the severe haze pollution in this region, and the results are compared with December 2007, the haziest month in the period 2001–2010. Model evaluation against meteorological and air quality observations indicates an overall acceptable performance and the model tends to underpredict PM2.5 and coarse particulate matter (PM10) concentrations during the extremely polluted episodes. The MEIC inventory is proven to be a good estimation in terms of total emissions of cities but uncertainties exist in the spatial allocations of emissions into fine grid resolutions within cities. The source apportionment shows that emissions from northern Hebei and the Beijing-Tianjin city cluster are two major regional contributors to the pollution in January 2013 in Shijiazhuang, compared with those from Shanxi and northern Hebei for December 2007. For Xingtai and Handan, the emissions from northern Hebei and Henan are important. The industrial and domestic sources are the most significant local contributors, and the domestic and agricultural emissions from Shandong and Henan are non-negligible regional sources, especially for Xingtai and Handan. Even in the top two haziest months (i.e., January 2013 and December 2007), a large fraction of PM2.5 in the three cities may originate from quite different regional sources. These results indicate the importance of establishing a regional joint framework of policymaking and action system to effectively mitigate air pollution in this area, not only over the Beijing-Tianjin-Hebei area, but also surrounding provinces such as Henan, Shandong, and Shanxi.

[1]  Shuiyuan Cheng,et al.  An integrated MM5–CMAQ modeling approach for assessing trans-boundary PM10 contribution to the host city of 2008 Olympic summer games—Beijing, China , 2007 .

[2]  James G. Wilkinson,et al.  Fast, Direct Sensitivity Analysis of Multidimensional Photochemical Models , 1997 .

[3]  C. Walcek,et al.  A Theoretical Method for Computing Vertical Distributions of Acidity and Sulfate Production within Cumulus Clouds , 1986 .

[4]  Shaodong Xie,et al.  Source apportionment of PM2.5 in Beijing in 2004. , 2007, Journal of hazardous materials.

[5]  Source apportionment of fine particulate matter over the Eastern U.S. Part II: source apportionment simulations using CAMx/PSAT and comparisons with CMAQ source sensitivity simulations , 2011 .

[6]  Armistead G Russell,et al.  Nonlinear response of ozone to emissions: source apportionment and sensitivity analysis. , 2005, Environmental science & technology.

[7]  Zhiliang Yao,et al.  NOx emission trends for China, 1995–2004: The view from the ground and the view from space , 2007 .

[8]  Yongtao Hu,et al.  Decoupled direct 3D sensitivity analysis for particulate matter (DDM-3D/PM) , 2006 .

[9]  Renjian Zhang,et al.  Evaluation of the Models-3 Community Multi-scale Air Quality (CMAQ) modeling system with observations obtained during the TRACE-P experiment: Comparison of ozone and its related species , 2006 .

[10]  D. Streets,et al.  MICS-Asia II. Modeling gaseous pollutants and evaluating an advanced modeling system over East Asia , 2008 .

[11]  Yang Zhang,et al.  Responses of future air quality to emission controls over North Carolina, Part I: Model evaluation for current-year simulations , 2010 .

[12]  Yang Zhang,et al.  Fine Scale Modeling of Agricultural Air Quality over the Southeastern United States Using Two Air Quality Models. Part II. Sensitivity Studies and Policy Implications , 2013 .

[13]  J. Deardorff Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation , 1978 .

[14]  R. Gilliam,et al.  Examining the sensitivity of MM5–CMAQ predictions to explicit microphysics schemes and horizontal grid resolutions, Part I—Database, evaluation protocol, and precipitation predictions , 2008 .

[15]  Srinath Krishnan,et al.  Modeling atmospheric transport and fate of ammonia in North Carolina—Part I: Evaluation of meteorological and chemical predictions , 2008 .

[16]  William P. L. Carter A DETAILED MECHANISM FOR THE GAS-PHASE ATMOSPHERIC REACTIONS OF ORGANIC COMPOUNDS , 1990 .

[17]  Binyu Wang,et al.  Air quality during the 2008 Beijing Olympic Games , 2007 .

[18]  C. Brunner National Ambient Air Quality Standards , 1985 .

[19]  John S. Kain,et al.  Convective parameterization for mesoscale models : The Kain-Fritsch Scheme , 1993 .

[20]  R. Martin,et al.  Growth in NO x emissions from power plants in China: bottom-up estimates and satellite observations , 2012 .

[21]  Jiming Hao,et al.  Impact assessment of ammonia emissions on inorganic aerosols in East China using response surface modeling technique. , 2011, Environmental science & technology.

[22]  W. Carter A detailed mechanism for the gas-phase atmospheric reactions of organic compounds , 1990 .

[23]  Kebin He,et al.  An inventory of primary air pollutants and CO2 emissions from cement production in China, 1990–2020 , 2011 .

[24]  Christian Seigneur,et al.  A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode—Part I: Evaluation protocols, databases, and meteorological predictions , 2006 .

[25]  D. Streets,et al.  Will the role of intercontinental transport change in a changing climate , 2013 .

[26]  Meigen Zhang,et al.  Sensitivity analysis of surface ozone to emission controls in Beijing and its neighboring area during the 2008 Olympic Games. , 2012, Journal of environmental sciences.

[27]  Jiming Hao,et al.  Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics , 2011 .

[28]  A. Russell,et al.  Optimization-based source apportionment of PM2.5 incorporating gas-to-particle ratios. , 2005, Environmental science & technology.

[29]  David G. Streets,et al.  Primary anthropogenic aerosol emission trends for China, 1990–2005 , 2011 .

[30]  Junji Cao,et al.  Sources of secondary organic aerosols in the Pearl River Delta region in fall: Contributions from the aqueous reactive uptake of dicarbonyls , 2013 .

[31]  K. He Multi-resolution Emission Inventory for China (MEIC): model framework and 1990-2010 anthropogenic emissions , 2012 .

[32]  Xiujuan Zhao,et al.  Understanding haze pollution over the southern Hebei area of China using the CMAQ model , 2012 .

[33]  Qiang Zhang,et al.  Understanding of regional air pollution over China using CMAQ, part I performance evaluation and seasonal variation , 2010 .

[34]  Jiming Hao,et al.  A Modeling Study of Coarse Particulate Matter Pollution in Beijing: Regional Source Contributions and Control Implications for the 2008 Summer Olympics , 2008, Journal of the Air & Waste Management Association.

[35]  Joshua S. Fu,et al.  Risk-Based Prioritization among Air Pollution Control Strategies in the Yangtze River Delta, China , 2010, Environmental health perspectives.

[36]  Wei Zh Characteristics of the severe haze episode in Handan City in January,2013 , 2014 .

[37]  S. Phillips,et al.  Modeling intercontinental air pollution transport over the trans‐Pacific region in 2001 using the Community Multiscale Air Quality modeling system , 2009 .

[38]  Michael J. Burr,et al.  Source apportionment of fine particulate matter over the Eastern U.S. Part I: source sensitivity simulations using CMAQ with the Brute Force method , 2011 .

[39]  J. Yang,et al.  A Review of Air Pollution and Control in Hebei Province, China , 2013 .

[40]  Wang CongMei,et al.  Analysis on the Meteorological Condition and Formation Mechanism of Serious Pollution in South Hebei Province in January 2013 , 2013 .

[41]  P. Bhave,et al.  To what extent can biogenic SOA be controlled? , 2008, Environmental science & technology.

[42]  Jiming Hao,et al.  Understanding of regional air pollution over China using CMAQ, part II. Process analysis and sensitivity of ozone and particulate matter to precursor emissions , 2010 .

[43]  Greg Yarwood,et al.  The decoupled direct method for sensitivity analysis in a three-dimensional air quality model--implementation, accuracy, and efficiency. , 2002, Environmental science & technology.

[44]  J. Burrows,et al.  Systematic analysis of interannual and seasonal variations of model-simulated tropospheric NO 2 in Asia and comparison with GOME-satellite data , 2006 .

[45]  L. Liu,et al.  A Coupled MM5-CMAQ Modeling System for Assessing Effects of Restriction Measures on PM10 Pollution in Olympic City of Beijing, China , 2012 .

[46]  Christian Seigneur,et al.  Evaluation of three probing techniques in a three-dimensional air quality model , 2005 .

[47]  Gail S. Tonnesen,et al.  Development of a tagged species source apportionment algorithm to characterize three‐dimensional transport and transformation of precursors and secondary pollutants , 2009 .

[48]  G. Carmichael,et al.  Asian emissions in 2006 for the NASA INTEX-B mission , 2009 .

[49]  Xiujuan Zhao,et al.  Quantifying the Sources of the Severe Haze over the Southern Hebei Using the CMAQ Model , 2013, TheScientificWorldJournal.

[50]  G. Carmichael,et al.  The Role of Mineral Aerosol in Tropospheric Chemistry in East Asia—A Model Study , 1999 .

[51]  J. Dudhia A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .

[52]  Paulette Middleton,et al.  A three‐dimensional Eulerian acid deposition model: Physical concepts and formulation , 1987 .

[53]  Jiming Hao,et al.  Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment , 2010 .

[54]  F. Binkowski,et al.  The Regional Particulate Matter Model 1. Model description and preliminary results , 1995 .

[55]  Kebin He,et al.  Modeling Regional/Urban Ozone and Particulate Matter in Beijing, China , 2009, Journal of the Air & Waste Management Association.

[56]  Shuiyuan Cheng,et al.  Assessment of the Integrated ARPS–CMAQ Modeling System through Simulating PM10 Concentration in Beijing, China , 2008 .

[57]  R. Rasmussen,et al.  Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model , 1998 .

[58]  Grinding Facility,et al.  Office Of Air Quality Planning And Standards , 1976 .

[59]  Greg Yarwood,et al.  Photochemical modeling of the impact of fuels and vehicles on urban ozone using auto/oil program data , 1996 .

[60]  Da‐Lin Zhang,et al.  A High-Resolution Model of the Planetary Boundary Layer—Sensitivity Tests and Comparisons with SESAME-79 Data , 1982 .

[61]  Shu-hui Cheng,et al.  Application of MM5 in China: Model evaluation, seasonal variations, and sensitivity to horizontal grid resolutions , 2011 .